Can your phone predict your pain? new study recruits 800 participants
NCT ID NCT05754190
First seen Nov 01, 2025 · Last updated Jun 19, 2026 · Updated 39 times
Summary
This study uses a smartphone app called SOMA to track daily mood, pain, and activity in 800 people with acute or chronic pain over four months. The goal is to find patterns that predict whether acute pain becomes chronic, or when chronic pain flares up. A smaller group will also do an EEG session to look at brain activity. This is an observational study, not a treatment trial.
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This is a summary of
the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Brown University
RECRUITINGProvidence, Rhode Island, 02912, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact Phone: •••-•••-•••• Email: •••••@•••••
Contact
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
SOMA pain manager smartphone application
What this could lead to
If successful, this could help identify early warning signs of chronic pain development or flare-ups, leading to better pain management strategies.
What could go wrong
This is an observational study, not a treatment trial. It relies on self-reported data and app engagement, which may not capture all factors influencing pain.
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.